Combination of statistical process control (SPC)methods and classification strategies for situation assessment of batch process
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Asociación Española para la Inteligencia Artificial
2006
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| _version_ | 1876457133110722560 |
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| author | Magda Ruiz |
| author_facet | Magda Ruiz |
| contents | Combination of statistical process control (SPC)methods and classification strategies for situation assessment of batch process Magda Ruiz Joan Colomer Joaquim Meléndez Ingeniería Batch Processes situation assessment Multiway Principal Component Analysis (MPCA) The paper focuses on the development of a classification strategy to identify critic situation in batch processcontrol. Data acquired from a batch execution is reduced by means of multiway principal component analysisin order to be assessed according to the statistical model of the process. Multiple situations have beencategorized by a classification algorithm applied to the principal components in order to identify misbehaviourcauses. 2006 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92502911 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.29 Vol.10 |
| format | Artículo científico |
| id | redalyc_92502911 |
| institution | Redalyc |
| language | en |
| publishDate | 2006 |
| publisher | Asociación Española para la Inteligencia Artificial |
| spellingShingle | Combination of statistical process control (SPC)methods and classification strategies for situation assessment of batch process Magda Ruiz Ingeniería Batch Processes situation assessment Multiway Principal Component Analysis (MPCA) Combination of statistical process control (SPC)methods and classification strategies for situation assessment of batch process Magda Ruiz Joan Colomer Joaquim Meléndez Ingeniería Batch Processes situation assessment Multiway Principal Component Analysis (MPCA) The paper focuses on the development of a classification strategy to identify critic situation in batch processcontrol. Data acquired from a batch execution is reduced by means of multiway principal component analysisin order to be assessed according to the statistical model of the process. Multiple situations have beencategorized by a classification algorithm applied to the principal components in order to identify misbehaviourcauses. 2006 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92502911 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.29 Vol.10 |
| title | Combination of statistical process control (SPC)methods and classification strategies for situation assessment of batch process |
| topic | Ingeniería Batch Processes situation assessment Multiway Principal Component Analysis (MPCA) |
| url | https://www.redalyc.org/articulo.oa?id=92502911 |